Most prompt tools help you write prompts. VisualFlow helps you understand what changed. It shows which part of a prompt affected the output, lets you test one change at a time, and safely go back to what worked — so prompt iteration feels controlled instead of fragile.
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Maker
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👋 Hey Product Hunt! I’m Anggi, the maker of VisualFlow.
We built this after repeatedly running into the same frustration with LLM prompts: they don’t usually break all at once — they slowly become fragile. A small change here, a tweak there, and suddenly the output shifts with no clear reason why.
VisualFlow is our attempt to make prompt changes visible and safe: seeing which part affected the result, testing one change at a time, and going back when something breaks.
This is an early launch and we’re mainly here to learn.
I’d love to hear how you handle prompt iteration today, what feels painful, or where this approach falls short.
Thanks for checking it out 🙏
Prompt diffing is such an underrated pain. Love the “what changed” angle. How are you attributing output shifts to specific prompt sections.. token-level diff, evals or some heuristic?
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Maker
@amitpsharma heuristic, and yes, we use the exclusion and isolation approach for a block/part of promts to get the diff
Ekamoira GSC MCP
Prompt diffing is such an underrated pain. Love the “what changed” angle. How are you attributing output shifts to specific prompt sections.. token-level diff, evals or some heuristic?
@amitpsharma heuristic, and yes, we use the exclusion and isolation approach for a block/part of promts to get the diff